Currently, agricultural technology or Farming development is increasingly sophisticated by applying LoRaWAN-based IoT technology, ignoring quality agricultural products. LoRaWAN used in this research uses Long-Range Frequency 915 MHz and 920 MHz. The case study in this research is a case of river water quality that enters agricultural land or irrigation in Temas, Batu City, where the river water has been contaminated by household waste. The prototype installed on this farm uses an Arduino and Dragino LoRa 915 MHz microcontroller as transceivers and input and output devices consisting of ultrasonic sensors and water pH sensors, and outputs such as Solenoid valves mounted on tub one and tub 2. In contrast, tub 3 is a unique tub for distributing water to agricultural land with normal water pH quality. In this research, realtime monitoring, especially on the conditions of water turbidity, water pH, and water level.
Waste is a major issue in the environmental field. Daily garbage in Malang City reaches 661.12 tons per day. Of this amount, 202.96 tons per day are managed by the people of Malang City. The remaining 458.16 tons per day is transported to the existing landfill in Supiturang. The composition of Malang city waste consists of organic waste (70.5%) and inorganic waste (29.5%); meanwhile, the potential of methane gas in the Supiturang landfill is based on the GIZ count of 4521 tons per year. Of this amount, only 3% has been utilized as a substitute for LPG gas by the public and as an electric generator drive, so this research uses the assessment of the potential development of the One Village-Owned Enterprises Urban Program on MSMEs in Malang, East Java Province, based on waste management in driving the community's economy as a most effective solution. This research is a quantitative developmental policy using the analysis of the critical problem and potential solutions. The variables to be explored are factors for the achievement of increased income source, Waste Management Strategies as Alternative Energy Sources and Drivers of Community Economy, regional core competencies and waste management.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.